postgres-patterns

description: Implements PostgreSQL best practices, query optimization, and connection pooling.

Summary

• Covers six index types with specific use cases: B-tree for equality/range queries, composite for multi-column filters, GIN for JSONB and full-text search, and BRIN for time-series data
• Includes data type guidance (bigint for IDs, text over varchar, timestamptz for timestamps, numeric for money) and anti-pattern detection queries for unindexed foreign keys and slow queries
• Provides ready-to-use SQL patterns for covering indexes, partial indexes, cursor pagination, UPSERT, queue processing, and Row Level Security policies
• Configuration template covers connection limits, timeouts, monitoring setup, and security defaults

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description: Implements PostgreSQL best practices, query optimization, and connection pooling.

SKILL.md

PostgreSQL Patterns

Quick reference for PostgreSQL best practices. For detailed guidance, use the database-reviewer agent.

When to Activate

• Writing SQL queries or migrations
• Designing database schemas
• Troubleshooting slow queries
• Implementing Row Level Security
• Setting up connection pooling

Quick Reference

Index Cheat Sheet

Query Pattern	Index Type	Example
WHERE col = value	B-tree (default)	CREATE INDEX idx ON t (col)
WHERE col > value	B-tree	CREATE INDEX idx ON t (col)
WHERE a = x AND b > y	Composite	CREATE INDEX idx ON t (a, b)
WHERE jsonb @> '{}'	GIN	CREATE INDEX idx ON t USING gin (col)
WHERE tsv @@ query	GIN	CREATE INDEX idx ON t USING gin (col)
Time-series ranges	BRIN	CREATE INDEX idx ON t USING brin (col)

Data Type Quick Reference

Use Case	Correct Type	Avoid
IDs	bigint	int, random UUID
Strings	text	varchar(255)
Timestamps	timestamptz	timestamp
Money	numeric(10,2)	float
Flags	boolean	varchar, int

Common Patterns

Composite Index Order:

-- Equality columns first, then range columns
CREATE INDEX idx ON orders (status, created_at);
-- Works for: WHERE status = 'pending' AND created_at > '2024-01-01'

Covering Index:

CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- Avoids table lookup for SELECT email, name, created_at

Partial Index:

CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- Smaller index, only includes active users

RLS Policy (Optimized):

CREATE POLICY policy ON orders
  USING ((SELECT auth.uid()) = user_id);  -- Wrap in SELECT!

UPSERT:

INSERT INTO settings (user_id, key, value)
VALUES (123, 'theme', 'dark')
ON CONFLICT (user_id, key)
DO UPDATE SET value = EXCLUDED.value;

Cursor Pagination:

SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;
-- O(1) vs OFFSET which is O(n)

Queue Processing:

UPDATE jobs SET status = 'processing'
WHERE id = (
  SELECT id FROM jobs WHERE status = 'pending'
  ORDER BY created_at LIMIT 1
  FOR UPDATE SKIP LOCKED
) RETURNING *;

Anti-Pattern Detection

-- Find unindexed foreign keys
SELECT conrelid::regclass, a.attname
FROM pg_constraint c
JOIN pg_attribute a ON a.attrelid = c.conrelid AND a.attnum = ANY(c.conkey)
WHERE c.contype = 'f'
  AND NOT EXISTS (
    SELECT 1 FROM pg_index i
    WHERE i.indrelid = c.conrelid AND a.attnum = ANY(i.indkey)
  );

-- Find slow queries
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;

-- Check table bloat
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;

Configuration Template

-- Connection limits (adjust for RAM)
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';

-- Timeouts
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';

-- Monitoring
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

-- Security defaults
REVOKE ALL ON SCHEMA public FROM public;

SELECT pg_reload_conf();

Related

• Agent: database-reviewer - Full database review workflow
• Skill: clickhouse-io - ClickHouse analytics patterns
• Skill: backend-patterns - API and backend patterns

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description: Implements PostgreSQL best practices, query optimization, and connection pooling.

Based on Supabase Agent Skills (credit: Supabase team) (MIT License)